| 2026 | AAAI | HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference. | Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang |
| 2026 | AAAI | Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers. | Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang |
| 2026 | WWW | Struggling at the Start: Structural Causes of Decoding Difficulty in Code Generation. | Yuqi Zhu, Jia Li, Hao Jiang, Shengze Li, Jieyuan Zhang, Ang Li |
| 2025 | AAAI | Efficient 3D Recognition with Event-driven Spike Sparse Convolution. | Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li |
| 2025 | ICLR | Quantized Spike-driven Transformer. | Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li |
| 2025 | ICLR | QP-SNN: Quantized and Pruned Spiking Neural Networks. | Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang |
| 2023 | CogSci | Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games. | Xianglong Li, Yuan Li, Xinhai Xu, Donghong Liu, Jieyuan Zhang |
| 2023 | HPCC | Optimizing 3D Mantle Convection Simulations on Multi-cores. | Zhicheng Zhang, Jie Liu, Shengguo Li, Fan Yuan, Xiaoxiong Zhu, Qinglin Wang, Jieyuan Zhang |
| 2023 | ICONIP | Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games. | Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu |
| 2022 | CIKM | Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu |
| 2022 | ICTAI | A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation. | Hao Tang, Feng Zhang, Xinhai Xu, Jieyuan Zhang, Donghong Liu |
| 2021 | ISCAS | Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman. | Yuqi Zhu, Shengze Li, Jieyuan Zhang, Xinhai Xu |
| 2019 | PLDI | Incremental precision-preserving symbolic inference for probabilistic programs. | Jieyuan Zhang, Jingling Xue |
| 2017 | SAS | Incremental Analysis for Probabilistic Programs. | Jieyuan Zhang, Yulei Sui, Jingling Xue |